In the realm of supply chain management, the rapid progression of digital technology has introduced many of challenges and opportunities. One challenge is the effective monitoring and optimization of physical assets and processes in real-time. The specific problem this research aims to address is the enhancement of supply chain performance, particularly focusing on the quality rate, a critical performance metric. To tackle this issue, we employed the digital twins, virtual replicas of physical entities, with the help of simulation models software. The research question of the study is how can a comprehensive supply chain model, informed by digital twins, be used to analyze and improve the quality rate. Through extensive simulation experiments, we test various scenarios, including reconfiguration of supply chain elements. The results show the potential for quality rate enhancement through strategic changes and provide actionable recommendations for decision-making in supply chain management based on simulation outcomes.